<!DOCTYPE html>
<html lang="en">
    <head>
        <meta charset="utf-8">
        <meta http-equiv="X-UA-Compatible" content="IE=edge">
        <meta name="viewport" content="width=device-width, initial-scale=1">
        <!-- The above 3 meta tags *must* come first in the head; any other head content must come *after* these tags -->
        <title>info.debatty.jinu.Case</title>
        <link rel='stylesheet' href='https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css' integrity='sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u' crossorigin='anonymous'>
        <link rel='stylesheet' href='https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap-theme.min.css' integrity='sha384-rHyoN1iRsVXV4nD0JutlnGaslCJuC7uwjduW9SVrLvRYooPp2bWYgmgJQIXwl/Sp' crossorigin='anonymous'>
        <!-- HTML5 shim and Respond.js for IE8 support of HTML5 elements and media queries -->
        <!-- WARNING: Respond.js doesn't work if you view the page via file:// -->
        <!--[if lt IE 9]>
          <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
          <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
        <![endif]-->
    </head>
    <body>
        <div class='container'>
            <h1>info.debatty.jinu.Case</h1>
            <p>2017-06-28 16:55:39</p>

            <h2>Case details</h2>
            <p>Test case: info.debatty.jinu.Case</p>
            <p>Version: 4035460645206145470</p>
            <p>Iterations: 10</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.Synthetic.ClaransTest@6b3e12b5</li>
                                    <li>spark.kmedoids.eval.Synthetic.HeuristicTest@59f63e24</li>
                                    <li>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest@61f05988</li>
                            </ul>

            <p>Classpath:</p>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100111-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 12743</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>14979.328702964704</td>
                                                <td>16720</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>15539.242482503367</td>
                                                <td>16844</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>12752.865900754245</td>
                                                <td>16835</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>15968.666573563654</td>
                                                <td>17241</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>16591.478984790254</td>
                                                <td>15462</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>16003.555253286351</td>
                                                <td>16241</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>14299.074401768776</td>
                                                <td>15900</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>11715.076660331652</td>
                                                <td>17101</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>13409.010407563475</td>
                                                <td>17319</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>14386.950918966413</td>
                                                <td>16256</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>15014.378574617687</td>
                                                <td>31430</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>15868.491851585657</td>
                                                <td>30976</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>16284.274836633318</td>
                                                <td>30887</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>16556.73058031397</td>
                                                <td>30941</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>16461.663707741616</td>
                                                <td>31002</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>16695.748275338607</td>
                                                <td>31299</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>15695.451737386291</td>
                                                <td>31565</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>17829.391533769405</td>
                                                <td>31797</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>16714.314909243738</td>
                                                <td>33489</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>16808.16482921099</td>
                                                <td>32251</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>18208.192398069958</td>
                                                <td>60895</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>18317.475982163116</td>
                                                <td>62102</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>17182.733776776775</td>
                                                <td>62304</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>18022.280652551482</td>
                                                <td>61340</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>16910.62460081001</td>
                                                <td>61564</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>16927.390312835792</td>
                                                <td>61893</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>17821.72912690643</td>
                                                <td>60823</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>17678.066364746195</td>
                                                <td>61727</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>16882.5666283818</td>
                                                <td>62233</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>17386.13857972871</td>
                                                <td>61986</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>17506.69024582161</td>
                                                <td>45712</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>17274.561680512787</td>
                                                <td>46679</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>15755.38268512856</td>
                                                <td>46337</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>15791.425978650008</td>
                                                <td>46900</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>16890.5993297737</td>
                                                <td>46979</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>16416.680423777434</td>
                                                <td>46060</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>17294.036528294324</td>
                                                <td>46948</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>18233.513688001403</td>
                                                <td>46398</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>18039.90315316931</td>
                                                <td>46394</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>17338.890435085796</td>
                                                <td>47029</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>15452.607482200947</td>
                                                <td>19395</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>11418.570930103397</td>
                                                <td>15804</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>15734.091414258657</td>
                                                <td>16347</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>15464.953783904288</td>
                                                <td>16360</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>15606.513150652161</td>
                                                <td>16411</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>15121.300347098826</td>
                                                <td>16572</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>14315.694106809155</td>
                                                <td>16082</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>16689.02761285453</td>
                                                <td>15982</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>13097.036363500307</td>
                                                <td>16626</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>13411.764859656309</td>
                                                <td>15797</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>16667.8469117868</td>
                                                <td>31580</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>16061.963254212209</td>
                                                <td>30846</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>15735.61556571104</td>
                                                <td>30801</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>16356.461142846529</td>
                                                <td>30730</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>16302.438717849502</td>
                                                <td>32345</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>16037.583509931399</td>
                                                <td>30580</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>15508.409345239703</td>
                                                <td>32521</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>15267.158342358012</td>
                                                <td>30348</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>14929.907329524758</td>
                                                <td>30365</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>18105.97373495149</td>
                                                <td>30571</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>18426.25029879024</td>
                                                <td>61550</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>17785.169023327893</td>
                                                <td>60985</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>17034.626347724414</td>
                                                <td>62112</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>16542.533099459055</td>
                                                <td>61878</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>17500.940998402963</td>
                                                <td>61856</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>14997.32366124285</td>
                                                <td>61511</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>17575.806854797345</td>
                                                <td>61143</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>17570.048656075738</td>
                                                <td>61329</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>16919.921285545614</td>
                                                <td>62002</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>17684.64891394868</td>
                                                <td>62174</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>18369.356629973343</td>
                                                <td>45982</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>17684.101300396025</td>
                                                <td>46798</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>16803.181033254168</td>
                                                <td>46392</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>16493.580134208703</td>
                                                <td>45731</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>13887.090431966782</td>
                                                <td>45895</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>16816.778135914516</td>
                                                <td>46162</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>16632.772016416155</td>
                                                <td>46598</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>15550.938630050314</td>
                                                <td>45556</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>15182.013379077947</td>
                                                <td>46243</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>15050.322788970174</td>
                                                <td>45629</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>16475.17058622055</td>
                                                <td>46093</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>17154.10446666886</td>
                                                <td>47080</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>16666.964606482572</td>
                                                <td>46553</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>16655.02079281969</td>
                                                <td>46609</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>16744.94359863066</td>
                                                <td>45539</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>17206.517315402245</td>
                                                <td>45969</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>17132.321448692255</td>
                                                <td>46516</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>17470.68844488606</td>
                                                <td>45592</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>15870.873832079726</td>
                                                <td>47170</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>16794.549914437983</td>
                                                <td>46485</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>17049.11930999938</td>
                                                <td>16321</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>15769.929765866646</td>
                                                <td>16871</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>16973.71859298599</td>
                                                <td>16446</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>15324.793007627479</td>
                                                <td>16390</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>15223.645227903302</td>
                                                <td>16636</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>10981.329599743778</td>
                                                <td>16312</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>14802.03851929672</td>
                                                <td>16624</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>13767.225669680065</td>
                                                <td>15699</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>10287.612017589714</td>
                                                <td>15807</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>14629.759628130596</td>
                                                <td>16084</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>17612.242431746694</td>
                                                <td>31721</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>15146.24935263436</td>
                                                <td>30942</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>15368.22459661604</td>
                                                <td>32452</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>13035.525744050763</td>
                                                <td>32740</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>15709.812543694788</td>
                                                <td>30414</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>14071.41705785656</td>
                                                <td>30884</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>17908.636838501945</td>
                                                <td>30562</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>16958.635367090203</td>
                                                <td>30855</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>17260.450031511056</td>
                                                <td>32151</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>16810.856153621633</td>
                                                <td>32501</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>16800.941479890716</td>
                                                <td>64735</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>18595.95894791971</td>
                                                <td>62249</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>17999.002259258446</td>
                                                <td>61205</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>16922.206256957994</td>
                                                <td>62219</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>16836.552201421382</td>
                                                <td>61864</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>16006.19448991003</td>
                                                <td>67128</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>16437.9722820739</td>
                                                <td>62486</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>16913.30096365545</td>
                                                <td>60439</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>17809.094108065627</td>
                                                <td>61014</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>16644.794186773488</td>
                                                <td>60432</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>15.0</td>
                            <td>mean</td>
                                                            <td>14564.525028649288</td>
                                                        <td>16591.9</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>15.0</td>
                            <td>std dev</td>
                                                            <td>1567.4386554588505</td>
                                                        <td>609.1532283059458</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>15.0</td>
                            <td>low</td>
                                                            <td>13443.24696178141</td>
                                                        <td>16156.138031337012</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>15.0</td>
                            <td>high</td>
                                                            <td>15685.803095517167</td>
                                                        <td>17027.661968662993</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>mean</td>
                                                            <td>16392.86108358413</td>
                                                        <td>31563.699999999997</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>std dev</td>
                                                            <td>755.4325508265526</td>
                                                        <td>804.7159678351666</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>low</td>
                                                            <td>15852.45719135531</td>
                                                        <td>30988.040875064235</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>high</td>
                                                            <td>16933.264975812945</td>
                                                        <td>32139.35912493576</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>60.0</td>
                            <td>mean</td>
                                                            <td>17533.71984229703</td>
                                                        <td>61686.7</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>60.0</td>
                            <td>std dev</td>
                                                            <td>551.4142404009654</td>
                                                        <td>526.3885447081842</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>60.0</td>
                            <td>low</td>
                                                            <td>17139.261857375623</td>
                                                        <td>61310.144319319144</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>60.0</td>
                            <td>high</td>
                                                            <td>17928.177827218435</td>
                                                        <td>62063.25568068085</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>45.0</td>
                            <td>mean</td>
                                                            <td>17054.16841482149</td>
                                                        <td>46543.6</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>45.0</td>
                            <td>std dev</td>
                                                            <td>847.806935805991</td>
                                                        <td>440.42534996170417</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>45.0</td>
                            <td>low</td>
                                                            <td>16447.683868362838</td>
                                                        <td>46228.53868434034</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>45.0</td>
                            <td>high</td>
                                                            <td>17660.652961280146</td>
                                                        <td>46858.66131565966</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>15.0</td>
                            <td>mean</td>
                                                            <td>14631.156005103858</td>
                                                        <td>16537.600000000002</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>15.0</td>
                            <td>std dev</td>
                                                            <td>1573.1611235914013</td>
                                                        <td>1046.7171113109368</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>15.0</td>
                            <td>low</td>
                                                            <td>13505.784331138162</td>
                                                        <td>15788.823685826048</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>15.0</td>
                            <td>high</td>
                                                            <td>15756.527679069553</td>
                                                        <td>17286.37631417396</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>mean</td>
                                                            <td>16097.335785441144</td>
                                                        <td>31068.7</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>std dev</td>
                                                            <td>882.1629811398375</td>
                                                        <td>798.3772500098769</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>low</td>
                                                            <td>15466.274404691083</td>
                                                        <td>30497.57532063556</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>high</td>
                                                            <td>16728.397166191207</td>
                                                        <td>31639.824679364443</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>60.0</td>
                            <td>mean</td>
                                                            <td>17203.72691393148</td>
                                                        <td>61654.0</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>60.0</td>
                            <td>std dev</td>
                                                            <td>933.2993354726729</td>
                                                        <td>413.3629021681663</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>60.0</td>
                            <td>low</td>
                                                            <td>16536.084788963264</td>
                                                        <td>61358.29799326192</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>60.0</td>
                            <td>high</td>
                                                            <td>17871.3690388997</td>
                                                        <td>61949.70200673808</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>45.0</td>
                            <td>mean</td>
                                                            <td>16247.01344802281</td>
                                                        <td>46098.600000000006</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>45.0</td>
                            <td>std dev</td>
                                                            <td>1334.7147651135622</td>
                                                        <td>415.61632948349524</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>45.0</td>
                            <td>low</td>
                                                            <td>15292.216023297795</td>
                                                        <td>45801.285988469805</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>45.0</td>
                            <td>high</td>
                                                            <td>17201.810872747825</td>
                                                        <td>46395.91401153021</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>45.0</td>
                            <td>mean</td>
                                                            <td>16817.115500632062</td>
                                                        <td>46360.600000000006</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>45.0</td>
                            <td>std dev</td>
                                                            <td>454.42825053519283</td>
                                                        <td>557.9468712262044</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>45.0</td>
                            <td>low</td>
                                                            <td>16492.03711334354</td>
                                                        <td>45961.46885250361</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>45.0</td>
                            <td>high</td>
                                                            <td>17142.193887920585</td>
                                                        <td>46759.7311474964</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>15.0</td>
                            <td>mean</td>
                                                            <td>14480.917133882365</td>
                                                        <td>16319.0</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>15.0</td>
                            <td>std dev</td>
                                                            <td>2265.7006729593836</td>
                                                        <td>368.36123574556524</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>15.0</td>
                            <td>low</td>
                                                            <td>12860.132510618463</td>
                                                        <td>16055.490246117517</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>15.0</td>
                            <td>high</td>
                                                            <td>16101.701757146267</td>
                                                        <td>16582.50975388248</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>mean</td>
                                                            <td>15988.205011732403</td>
                                                        <td>31522.2</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>std dev</td>
                                                            <td>1602.976801671567</td>
                                                        <td>886.923747192132</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>low</td>
                                                            <td>14841.504486545862</td>
                                                        <td>30887.732972376718</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>high</td>
                                                            <td>17134.905536918945</td>
                                                        <td>32156.667027623284</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>60.0</td>
                            <td>mean</td>
                                                            <td>17096.601717592675</td>
                                                        <td>62377.1</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>60.0</td>
                            <td>std dev</td>
                                                            <td>789.9373124732113</td>
                                                        <td>2087.496770456583</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>60.0</td>
                            <td>low</td>
                                                            <td>16531.51460583105</td>
                                                        <td>60883.7947690624</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>60.0</td>
                            <td>high</td>
                                                            <td>17661.6888293543</td>
                                                        <td>63870.4052309376</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 15.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.8654012079362831</td>
                                                                            <td>0.9254578714472351</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                            <td>0.8654012079362831</td>
                                                                            <td>1.0</td>
                                                                            <td>0.9247383487111038</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.9254578714472351</td>
                                                                            <td>0.9247383487111038</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 30.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.8531043917908891</td>
                                                                            <td>0.43176800051533926</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                            <td>0.8531043917908891</td>
                                                                            <td>1.0</td>
                                                                            <td>0.4831983876893228</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.43176800051533926</td>
                                                                            <td>0.4831983876893228</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 45.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.4489794452570395</td>
                                                                            <td>0.22720592150271468</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                            <td>0.4489794452570395</td>
                                                                            <td>1.0</td>
                                                                            <td>0.12697932431144554</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.22720592150271468</td>
                                                                            <td>0.12697932431144554</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 60.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.7849809146180935</td>
                                                                            <td>0.35139867573366756</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                            <td>0.7849809146180935</td>
                                                                            <td>1.0</td>
                                                                            <td>0.17048029410741927</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.35139867573366756</td>
                                                                            <td>0.17048029410741927</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.Synthetic.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.Synthetic.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>
        </div>
    </body>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.1.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.4.0/Chart.min.js"></script>
    <script>
        // Common stuff
        var datasets, title;
        var dynamicColor = function() {
            var r = Math.floor(Math.random() * 255);
            var g = Math.floor(Math.random() * 255);
            var b = Math.floor(Math.random() * 255);
            return "rgb(" + r + "," + g + "," + b + ")";
        };

                datasets = [{"label":"HeuristicTest","data":[{"x":15.0,"y":14480.917133882365},{"x":30.0,"y":15988.205011732403},{"x":45.0,"y":17054.16841482149},{"x":60.0,"y":17096.601717592675}]},{"label":"SimulatedAnnealingTest","data":[{"x":15.0,"y":14564.525028649288},{"x":30.0,"y":16392.86108358413},{"x":45.0,"y":16247.01344802281},{"x":60.0,"y":17533.71984229703}]},{"label":"ClaransTest","data":[{"x":15.0,"y":14631.156005103858},{"x":30.0,"y":16097.335785441144},{"x":45.0,"y":16817.115500632062},{"x":60.0,"y":17203.72691393148}]}];
        title = "20170628165539 - r0";

        $.each(datasets, function(index, dataset) {
            var color = dynamicColor();
            dataset.pointBackgroundColor = color;
            dataset.pointBorderColor = color;
            dataset.borderColor = color;
            dataset.tension = 0;

        });

        new Chart($("#chart_0"), {
            type: 'line',
            data: {
                datasets: datasets
            },
            options: {
                title: {
                    display: true,
                    text: title
                },
                scales: {
                    xAxes: [{
                        type: 'linear',
                        position: 'bottom'
                    }]
                }
            }
        });
        
        // Runtime
        datasets = [{"label":"HeuristicTest","data":[{"x":15.0,"y":16319.0},{"x":30.0,"y":31522.2},{"x":45.0,"y":46543.6},{"x":60.0,"y":62377.1}]},{"label":"SimulatedAnnealingTest","data":[{"x":15.0,"y":16591.9},{"x":30.0,"y":31563.699999999997},{"x":45.0,"y":46098.600000000006},{"x":60.0,"y":61686.7}]},{"label":"ClaransTest","data":[{"x":15.0,"y":16537.600000000002},{"x":30.0,"y":31068.7},{"x":45.0,"y":46360.600000000006},{"x":60.0,"y":61654.0}]}];
        title = "20170628165539 - time";

        $.each(datasets, function(index, dataset) {
            var color = dynamicColor();
            dataset.pointBackgroundColor = color;
            dataset.pointBorderColor = color;
            dataset.borderColor = color;
            dataset.tension = 0;

        });

        new Chart($("#chart_time"), {
            type: 'line',
            data: {
                datasets: datasets
            },
            options: {
                title: {
                    display: true,
                    text: title
                },
                scales: {
                    xAxes: [{
                        type: 'linear',
                        position: 'bottom'
                    }]
                }
            }
        });
    </script>
</html>
